Now showing items 29-48 of 1807

    • Adapting to natural rating acquisition with combined active learning strategies 

      Elahi M; Ricci F; Rubens N (Springer, 2012)
      The accuracy of collaborative-filtering recommender systems largely depends on the quantity and quality of the ratings added to the system over time. Active learning (AL) aims to improve the quality of ratings by selectively ...
    • Adaptive active learning in recommender systems 

      Elahi M (Springer, 2011)
      Recommender Systems (RSs) generate personalized suggestions to users for items that may be interesting for them. Many RSs use the Collaborative Filtering (CF) technique, where the system gathers some information about the ...
    • An adaptive finite element method for the infinity Laplacian 

      Lakkis O; Pryer T (Springer International Publishing, 2015)
      We construct a finite element method (FEM) for the infinity Laplacian. Solutions of this problem are well known to be singular in nature so we have taken the opportunity to conduct an a posteriori analysis of the method ...
    • Adaptive finite elements for semilinear reaction-diffusion systems on growing domains 

      Venkataraman C; Lakkis O; Madzvamuse A (Springer Berlin Heidelberg, 2013)
      We propose an adaptive finite element method to approximate the solutions to reaction-diffusion systems on time-dependent domains and surfaces. We derive a computable error estimator that provides an upper bound for the ...
    • Adaptive Model for Background Extraction Using Depth Map 

      Sun BY; Tillo T; Xu M (SPRINGER, 2015)
      Depth map has attracted great attention for image and video processing in recent years. Depth map gives one more dimensional information about the images besides color (intensity). Depth is independent of color, which is ...
    • Add Data into Business Process Verification: Bridging the Gap between Theory and Practice 

      De Masellis R; Di Francescomarino C; Ghidini C; Montali M; Tessaris S (AAAI press, 2017)
      The need to extend business process languages with the capability to model complex data objects along with the control flow perspective has lead to significant practical and theoretical advances in the field of Business ...
    • Adding context to Knowledge and Action Bases 

      Calvanese D; Ceylan I; Montali M; Santoso A (arXiv.org e-Print archive, 2014)
      Knowledge and Action Bases (KABs) have been recently proposed as a formal framework to capture the dynamics of systems which manipulate Description Logic (DL) Knowledge Bases (KBs) through action execution. In this work, ...
    • Adding Context to Tableaux for DLs 

      Fu W; Peñaloza R (CEUR, 2012)
      We consider the problem of reasoning with ontologies where every axiom is associated to a context, and contexts are related through a total order. These contexts could represent, for example, a degree of trust associated ...
    • Adding Weight to DL-Lite 

      Artale, A; Calvanese, D; Kontchakov, R; Zakharyaschev, M (CEUR-WS.org, 2009)
      In this paper we extend the logic DL-LiteNbool and its fragments with (i) role inclusions, (ii) qualified number restrictions and (iii) role disjointness, symmetry, asymmetry, reflexivity and irreflexivity constraints. We ...
    • The address connector: Noninvasive synchronization of hierarchical data sources 

      Augsten N; Böhlen MH; Gamper J (SPRINGER LONDON LTD, 2013)
      Different databases often store information about the same or related objects in the real world. To enable collaboration between these databases, data items that refer to the same object must be identified. Residential ...
    • Addressing the new user problem with a personality based user similarity measure 

      Tkalčič M; Kunaver M; Košir A; Tasič J (CEUR-WS.org, 2011)
      The new user problem is a recurring problem in memory based collaborative recommender systems (MBCR). It occurs when a new user is added to the system and there are not enough information to make a good selection of the ...
    • Adopting an agile approach for the development of mobile applications 

      Flora HK; Chande SV; Wang X (Foundation of Computer Science, 2014)
      With the increasing popularity and demand for mobile applications, there has been a significant increase in the number of mobile application development projects. Highly volatile requirements of mobile applications require ...
    • An advanced system to support cognitive rehabilitation in multiple sclerosis 

      Gaspari M; Zini F; Castellano D; Pinardi F; Stecchi S (IEEE, 2017)
      Recent studies demonstrate the benefits of cognitive rehabilitation (CR) showing that it reduces cognitive impairment in Multiple Sclerosis (MS) improving performance of patients in memory and attention. However, CR ...
    • Affective and Personality Corpora 

      Odić A; Košir A; Tkalčič M (Springer, 2016)
      In this chapter we describe publicly available datasets with personality and affective parameters relevant to the research questions covered by this book. We briefly describe the available data, acquisition procedure, and ...
    • Affective Labeling in a Content-Based Recommender System for Images 

      Tkalcic M; Odic A; Kosir A; Tasic J (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2013)
      Affective labeling of multimedia content has proved to be useful in recommender systems. In this paper we present a methodology for the implicit acquisition of affective labels for images. It is based on an emotion detection ...
    • Affective recommender systems: The role of emotions in recommender systems 

      Tkalcic M; Kosir A; Tasic J (CEUR-WS.org, 2011)
      Recommender systems have traditionally relied on data-centric descriptors for content and user modeling. In recent years we have witnessed an increasing number of attempts to use emotions in di?erent ways to improve the ...
    • Affordable and Energy-Efficient Cloud Computing Clusters: The Bolzano Raspberry Pi Cloud Cluster Experiment 

      Abrahamsson P; Helmer S; Phaphoom N; Nicolodi L; Preda N; Miori L; Angriman M; Rikkilä J; Wang X; Hamily K; Bugoloni S (IEEE, 2013)
      We present our ongoing work building a Raspberry Pi cluster consisting of 300 nodes. The unique characteristics of this single board computer pose several challenges, but also offer a number of interesting opportunities. ...
    • Agent composition synthesis based on ATL 

      De Giacomo G; Felli P (IFAAMAS, 2010)
      Agent, composition is the problem of realizing a "virtual" agent by suitably directing a set of available "concrete", i.e., already implemented, agents. It is a synthesis problem, since its solution amounts to synthesizing ...
    • Agent societies and service choreographies: A declarative approach to specification and verification 

      Chesani, F; Mello, P; Montali, M; Storari, S (MALLOW-AWESOME, 2007)
      The need for specifying choreographies when developing service oriented systems recently arose as an important issue. Although declarativeness has been identified as a key feature, several proposed approaches model ...
    • Aggregate queries for discrete and continuous probabilistic XML 

      Abiteboul, S; Chan, H; Kharlamov, E; Nutt, W; Senellart, P (ACM, 2010)
      Sources of data uncertainty and imprecision are numerous. A way to handle this uncertainty is to associate probabilistic annotations to data. Many such probabilistic database models have been proposed, both in the relational ...